A smart data forwarding method based on adaptive levels in wireless sensor networks

Abstract

This paper presents a smart data forwarding method based on adaptive levels in order to collect data in a wide area with a limited number of sensors in wireless sensor networks (WSNs). WSN nodes move on predefined trajectories. In comparison to other works, each WSN node is assigned an adaptive level, which is frequently updated based on levels and weights of other neighbor nodes. Measured data will be forwarded from nodes with higher levels on the outermost trajectories to nodes with lower levels on inner trajectories, until they reach the center. The proposed method has been tested with eight sensor nodes and one base station to cover an area of 14.6 km 2 of an urban district of Hanoi City.

Using Mobile Elements as Dynamic Bridges in Sparse Wireless Sensor Networks

“…Contrary to previous works, we focus the coverage on traffic-generated pollution areas, i.e. only on the main streets of a city similar to the model in our previous work [29]. The coverage is interpreted as how well a WSN could monitor a field of interest.…”

“…Recently, a path planning algorithm has been proposed that allows mobile nodes to autonomously navigate through the field for improving the area coverage [27]. As alternative, our method uses pre-defined trajectories for moving MEs in order to cover the desired area [29,32]. From the viewpoint of traffic-generated pollution, only main streets are of interest for the coverage.…”

“…These protocols are very similar in their nature to address the same problem. Our work is motivated by the concept proposed in [2,29].…”